Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Method embodiment
According to an embodiment of the present invention, a method for controlling a constant flow rate of cut tobacco based on a cut tobacco production line is provided, fig. 1 is a flowchart of the method for controlling the constant flow rate of cut tobacco based on the cut tobacco production line according to the embodiment of the present invention, and as shown in fig. 1, the method specifically includes:
s1, obtaining an operation parameter with minimum historical tobacco shred flow fluctuation according to set tobacco shred flow;
s1 specifically comprises the following steps: and acquiring a tobacco shred flow parameter with the minimum historical tobacco shred flow fluctuation, a height parameter of the material in the metering pipe, a steep angle band operation frequency parameter and a stock bin bottom band operation frequency parameter according to the set tobacco shred flow.
S2, starting a tobacco shred production line according to the operation parameters;
s3, setting the thickness of the material on the surface of the steep angle belt, changing operation parameters for multiple times, calculating the flow fluctuation of the tobacco shreds, and comparing the flow fluctuation until the flow fluctuation of the tobacco shreds is not changed any more;
s3 specifically comprises the following steps: the method comprises the steps of setting the thickness of materials on the surface of a steep angle belt, changing operation parameters of a tobacco shred production line for multiple times, collecting tobacco shred flow data of an electronic scale, comparing tobacco shred flow fluctuation after current change with average tobacco shred flow fluctuation in a period of time before the current change, continuing to adjust in the direction with small fluctuation amplitude if fluctuation amplitude becomes small, and adjusting in the direction with small fluctuation amplitude if fluctuation amplitude becomes large until the tobacco shred flow fluctuation is not changed any more.
The method for changing the operation parameters of the tobacco shred production line for multiple times specifically comprises the following steps: the height of the material in the metering pipe and the frequency of the steep angle band are changed by changing the output current for multiple times.
Changing the height of the material in the metering tube and the frequency of the steep angle band by changing the output current for a plurality of times further comprises: determining a correlation coefficient A of the bin bottom band frequency and the steep angle band frequency,
bin bottom band frequency = steep angle band frequency × a;
wherein, the material on the bottom belt of the storage bin is arc-shaped, L 1 : the sectional area of the materials in the material bin is shown; three ultrasonic range finders H arranged in a line above the bottom belt 1 、H 2 、H 3 The material heights of the left position, the middle position and the right position of the same section are detected by the three ultrasonic sensors respectively; l is a radical of an alcohol 2 Indicating the width of the steep-angle zone, the thickness ncm, L of the material in the steep-angle zone 2 X n represents the cross-sectional area of the steep-angle belt material.
S4, selecting operation parameters with non-fluctuating flow of the cut tobacco for multiple times to store;
s5, selecting the operation parameters with non-fluctuating tobacco shred flow to compare with the operation parameters with the minimum historical tobacco shred flow fluctuation, and selecting the operation parameters with the minimum flow fluctuation after comparison to control the tobacco shred production line.
According to the metering and controlling principle of the control type electronic scale, the instantaneous flow fluctuation of the electronic scale in the constant flow system is reduced, the key is to reduce the change frequency of the height of materials in a metering pipe, so that the height of the materials in the metering pipe for supplying the materials of the electronic scale is kept unchanged, namely the density of the materials passing through the metering area of the control type electronic scale is unchanged, according to the theory, a constant flow control system based on self-learning is designed, the original single-machine equipment electronic scale which is independently controlled in three parts, a steep angle belt and a stock bin bottom belt are controlled by a PLC1200, and the core is as follows: the system automatically adjusts the height of a metering pipe, the speed of a steep angle belt and the speed of a stock bin bottom belt based on data such as material states, different set flow, parameter algorithm models and the like, the speed is adjusted from discontinuous to track a target value, namely the flow fluctuation of an electronic scale tends to zero, linkage and stepless speed regulation are carried out, and the improved constant flow system only needs to input marks and process parameters and is automatically adjusted by a program model.
Fig. 2 is a schematic diagram of a device corresponding to a method for controlling constant flow of cut tobacco based on a cut tobacco production line according to an embodiment of the present invention, as shown in fig. 2;
1 additionally installing Siemens AO module
The analog signal module is a module for remotely acquiring data and controlling electricity in an industrial control system, and provides analog quantity acquisition input and 4-20mA analog quantity output functions. The original equipment adopts a DI module, input signals are switching values of three photoelectric tubes of high, middle and low, a grating is adopted after improvement, 4-20mA current signals output by the grating need to be input into an AI module of a PLC, and the AI module is processed by a CPU of the PLC and used for controlling a steep angle band frequency converter.
2. Install FC302 converter additional
With the FC302 transducer, the response time is set by default to 500 milliseconds. The response time error is 1.6ms, the output frequency of the FC302 frequency converter is adjusted according to the input 4-20mA current signal, the material in the metering pipe is ensured to be stabilized at a certain height according to the set flow of the electronic scale, and the fluctuation range of the material density is reduced.
3. Installing a grating:
SICK WT9-N430 grating is adopted to replace a photoelectric switch and is used for detecting the height of materials in a metering pipe, controlling the speed of a steep angle zone and solving the problem of frequent start and stop of the steep angle zone. SICK WT9-N430 grating 4-20mA output signal corresponds to 10-90cm of material height, and simultaneously the operation frequency of the steep angle band is controlled to be 0-25 HZ.
4. Install three ultrasonic ranging appearance additional
The three ultrasonic distance meters are additionally arranged at the joint of the stock bin and the steep angle belt in parallel and used for detecting the height of the stock bin materials, the ultrasonic distance meters output 4-20mA analog signals, and the analog signals obtained by averaging the three analog quantities are multiplied by a proportionality coefficient and used for controlling the running speed of the stock bin bottom belt and realizing the continuous running of the stock bin bottom belt and the steep angle belt.
CPK is an index used for representing the processing capability of modern enterprises, and the larger the CPK value is, the better the quality is, and the more stable the process control is. The intelligent control of a constant flow system is realized by constructing an RBFNN three-layer feedforward neural network model, test data are manually screened in the earlier stage, ten groups of test data with the maximum CPK (see table I) are preferably selected, each group of data comprises key parameters such as target flow corresponding to the CPK, material height of a metering pipe, flow fluctuation and steep angle band operation frequency, the key parameters are used as parameters of a middle input layer of the feedforward neural network, a group of data with the minimum fluctuation is preferably selected by a training neural network and used as initial control parameters for controlling the constant flow system, and the fluctuation of the flow of an electronic scale tends to zero by quickly stabilizing the material height of the metering pipe, so that the optimal state of constant flow control is reached. The system can analyze the process control data and the control result of each time, and compare the process control data and the control result with the existing ten groups of data one by one, so that the group with the minimum CPK data is selected, the data is ensured to be updated continuously, and the stability of the constant flow control system is higher and higher. The intelligent adaptive linkage control of the electronic scale, the steep angle belt, the metering pipe, the stock bin bottom belt and other constant flow system single-machine equipment is realized.
Three parts of single machine control are changed into PLC1200 control, and the control flow is as follows: when the constant flow control system is started, firstly, according to a set flow and a set of operation parameters with optimal CPK in the label stored in the early stage, the height of materials in a metering pipe, the operation frequency of a steep angle zone and the operation frequency of a stock bin bottom zone are determined when the equipment is started, and at the moment, the equipment is started. After the equipment runs for 120 seconds (materials appear at a blanking port of the electronic scale), the equipment enters a self-learning function adjusting stage: adjusting the output current of the grating according to +/-1% of the height of the metering tube, wherein the frequency of a steep angle band and the frequency of a stock bin bottom band are changed successively, the flow fluctuation of the electronic scale is changed, the flow fluctuation of the electronic scale is compared with the average fluctuation of the electronic scale in the first 120 seconds, if the fluctuation range is reduced, the adjustment direction of the height of the material in the metering tube meets the requirement, and otherwise, the adjustment direction is in the opposite direction. The flow fluctuation of the electronic scale, the height in a metering pipe detected by a grating and the running frequency of a motor of a steep angle belt are controlled by adopting a RBFNN three-layer feedforward neural network model, after 5 times of adjustment is carried out repeatedly, the flow fluctuation trend of the electronic scale cannot be reduced, the constant flow control system compares an optimal group of data with initial parameters, and the optimal group of data is taken for control: the height and the steep angle band frequency of the metering tube are used as control parameters for operation.
The stock bin bottom belt and the steep angle belt adopt a servo technology, the running frequency of the steep angle belt is tracked, and the stock bin bottom belt is controlled to run through a correlation coefficient, so that the stability of feeding is ensured. The distance between the rake nails of the material homogenizing roller and the steep angle belt is the thickness of the material when the steep angle belt conveys the material, after the position of the material homogenizing roller is adjusted, the degree of rearness of the material is determined, and under the adjustment of the material homogenizing roller, the thickness of the material in the steep angle belt is 10 cm).
The method for controlling the correlation coefficient in the servo technology comprises the following steps: correlation coefficient A of the stock bin bottom belt and the steep angle belt:
(the material on the bottom belt of the storage bin is arc-shaped, L
1 : the sectional area of the materials in the material bin is shown; three ultrasonic range finders H arranged in a line above the bottom belt
1 、H
2 、H
3 The material heights of the left position, the middle position and the right position of the same section are detected by the three ultrasonic sensors respectively; l is a radical of an alcohol
2 Indicating the width of the steep-angle zone, the thickness of the steep-angle zone material was 10cm
2 X 10 denotes the boring cross-sectional area of the steep-angled belt), in order to ensure that the material volume supplied by the bottom belt of the silo is constant at the same time, i.e. the volume flow is stable, the operating frequency f of the steep-angled belt is set in the control program
1 Multiplying by A to obtain the running of the bottom belt of the storage binFrequency.
f 1 = a × steep angle band operating frequency;
therefore, the synchronous and variable-speed operation of the bottom belt of the storage bin can be remotely controlled under the condition that the steep-angle belt does not need any mechanical connection.
The flow fluctuation of the electronic scale tends to zero as a target, the materials of the metering pipe are regulated and stabilized through the grating, the operating frequency of a steep angle zone is regulated, the operating frequency of the steep angle zone and the monitoring data of the ultrasonic distance meter control the operating frequency of a stock bin bottom zone through a linear regression model, after production is finished, the CPK is compared with 10 groups of data stored historically, if one group of the CPK is used, the flow, the height of the materials (the metering pipe) and the flow fluctuation X corresponding to the CPK at this time are fluctuated minE The steep angle belt rotation speed is stored and a group of data differences is rejected. Thereby realizing the self-learning of the constant flow system.
Principle of constant flow control system
The constant flow system mainly comprises a storage bin, a steep angle belt (elevator), a metering tube and a control type electronic scale, wherein materials are conveyed to the steep angle belt through a bottom belt of the storage bin, the steep angle belt is controlled to be low, medium and high according to high, medium and low photoelectric tubes of the metering tube, the metering tube is filled with the materials, the materials with a certain height in the metering tube are driven by a belt of the electronic scale, the control type electronic scale adjusts the belt speed of the electronic scale in real time according to set rated flow, and the instantaneous materials passing through the electronic scale are guaranteed to keep a constant flow (set rated flow). Therefore, the control type electronic scale is the core, the electronic scale with four sensors is generally adopted in the manufacturing line, and the instantaneous and accumulated weight calculation method of the materials is as follows:
at t n To t n+1 During the period of time, the user can select the time period,
W n =V n ×t×S cross sectional area ×ρ Density of
t n Is a certain time, t n+1 Is the next moment; t is t n And t n+1 Short intervals, t denotes time (h), Q n Denotes the instantaneous flow rate (kg/h), C t Flow coefficient is marked, and t is obtained n To t n+1 Cumulative amount of material W in time period n ,P n Denotes t n Total instantaneous weight (kg), V t Indicating homeopathic flow at t n To t n+1 For the instantaneous flow rate Q in a time period n Performing constant integral calculation, n represents natural number, P t Instantaneous weight; v n Speed of the electronic belt scale; v t : instantaneous speed of the electronic belt scale; t: time; s Cross sectional area : metering the area of the tube outlet; rho Density of : and (4) conveying the density of the materials by an electronic scale.
Weight P on electronic scale t Is determined by the speed, time, the cross section area of the metering pipe and the material density. The material of electronic scale is supplied by the metering tube, under the action of gravity, the material density difference is caused by the height and the height of the material in the metering tube, and the change of the material density rho density causes the instantaneous flow V n The control accuracy is reduced by frequent fluctuations. If the material fluctuation is zero and the instantaneous flow fluctuation of the electronic scale is infinitely close to zero, the control precision of the material flow is highest.
In software, a machine self-learning control program is established by adopting an RBFNN three-layer feedforward neural network model, and a constant flow control system can automatically set and control the height of a material and eliminate the problem of flow fluctuation caused by fluctuation of the height of the material in a metering pipe. The control algorithm comprises the following steps:
(1) Calling and analyzing according to the CPK and the frequency historical data, optimally setting, outputting an initialization parameter, and starting a constant flow system.
(2) According to W n =V n ×t×S Cross sectional area ×ρ Density of Computational analysis output W n And calculating a weight M and optimizing actual output by using a least square method, wherein M is a static coefficient.
F(x)=W n M
(3) The mean square error of the process is calculated according to equation (4) and the sample X that produces the minimum error is found minE And storing the label with the least fluctuation of the flow rate as X minE :
(4) If E is<E min And (6) stopping. Otherwise, turning to the step (5).
(5) Judgment of X minE Whether the optimum condition is satisfied. If so, the label is taken as a new label. Otherwise, PID adjustment is performed. And (3) returning to the step (2).
Table one, preferably ten sets of test data with maximum CPK for machine self-learning training
After the constant flow control system based on the intelligent technology is applied, the fluctuation of the electronic scale is greatly reduced, the control precision is improved, the linkage and stepless speed regulation of the height of the metering pipe, the speed of the steep angle belt and the speed of the bottom belt of the storage bin are ensured, and the fluctuation of the materials of the constant flow system reaches 0.18 percent and reaches the advanced level of the industry when the fluctuation is lower than 0.2 percent.
Device embodiment
According to an embodiment of the present invention, there is provided a tobacco shred constant flow control device based on a tobacco shred production line, and fig. 3 is a schematic diagram of the tobacco shred constant flow control device based on the tobacco shred production line according to the embodiment of the present invention, as shown in fig. 3:
an acquisition module: the device is used for acquiring the operating parameter with the minimum historical tobacco shred flow fluctuation according to the set tobacco shred flow;
the acquisition module is specifically configured to: and acquiring the tobacco shred flow parameter with the minimum historical tobacco shred flow fluctuation, the height parameter of the material in the metering pipe, the steep angle band operating frequency parameter and the bin bottom band operating frequency parameter according to the set tobacco shred flow.
A starting module: the tobacco shred production line is started according to the operation parameters;
a comparison module: the device is used for setting the thickness of the material on the surface of the steep angle belt, changing operation parameters for many times, calculating the flow fluctuation of the tobacco shreds, and comparing the flow fluctuation until the flow fluctuation of the tobacco shreds is not changed any more;
the comparison module is specifically configured to: changing the operation parameters of a tobacco shred production line, acquiring tobacco shred flow data of the electronic scale, comparing tobacco shred flow fluctuation after current change with average tobacco shred flow fluctuation in a period of time before current change, if the fluctuation range is reduced, continuing to adjust in the direction with the small fluctuation range, and if the fluctuation range is increased, adjusting in the direction with the small fluctuation range until the tobacco shred flow fluctuation is not changed any more.
The height of the material in the metering pipe and the frequency of a steep angle band are changed by changing the output current for multiple times.
The comparison module is further configured to: determining a correlation coefficient A of the frequency of the bin bottom band and the frequency of the steep angle band,
bin bottom band frequency = steep angle band frequency × a;
wherein, the material on the bottom belt of the storage bin is arc-shaped, L 1 : the sectional area of the materials in the material bin is shown; three ultrasonic distance measuring instruments H arranged in a straight line above the bottom belt 1 、H 2 、H 3 The material heights of the left position, the middle position and the right position of the same section are detected by the three ultrasonic sensors respectively; l is a radical of an alcohol 2 Indicating the width of the steep-angle belt, the thickness ncm, L of the steep-angle belt material 2 X n represents the cross-sectional area of the steep-angle belt material.
A storage module: the device is used for selecting running parameters which are not fluctuated in the flow of the cut tobacco for multiple times to be stored;
a selection module: and the operation parameters with non-fluctuating flow rate of the selected cut tobacco are compared with the operation parameters with the minimum flow rate fluctuation of the historical cut tobacco, and the operation parameters with the minimum flow rate fluctuation after comparison are selected to control the cut tobacco production line.
The computer-readable storage medium of the embodiment includes, but is not limited to: ROM, RAM, magnetic or optical disks, and the like.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized in a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a memory device and executed by a computing device, and in some cases, the steps shown or described may be executed out of order, or separately as individual integrated circuit modules, or multiple modules or steps thereof may be implemented as a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; however, these modifications or alternative technical solutions of the embodiments of the present invention do not depart from the scope of the present invention.